Viral informatics: bioinformatics-based solution for managing viral infections

Author:

Kumar Sanjay12ORCID,Kumar Geethu S32,Maitra Subhrangsu Sundar1,Malý Petr4ORCID,Bharadwaj Shiv4ORCID,Sharma Pradeep5,Dwivedi Vivek Dhar26ORCID

Affiliation:

1. School of Biotechnology, Jawaharlal Nehru University , New Delhi, India

2. Center for Bioinformatics, Computational and Systems Biology, Pathfinder Research and Training Foundation , Greater Noida, India

3. Department of Life Science, School of Basic Science and Research, Sharda University , Greater Noida, Uttar Pradesh, India

4. Laboratory of Ligand Engineering, Institute of Biotechnology of the Czech Academy of Sciences v.v.i., BIOCEV Research Center , Vestec, Czech Republic

5. Department of Biophysics, All India Institute of Medical Sciences , New Delhi, India

6. Institute of Advanced Materials, IAAM , 59053 Ulrika, Sweden

Abstract

AbstractSeveral new viral infections have emerged in the human population and establishing as global pandemics. With advancements in translation research, the scientific community has developed potential therapeutics to eradicate or control certain viral infections, such as smallpox and polio, responsible for billions of disabilities and deaths in the past. Unfortunately, some viral infections, such as dengue virus (DENV) and human immunodeficiency virus-1 (HIV-1), are still prevailing due to a lack of specific therapeutics, while new pathogenic viral strains or variants are emerging because of high genetic recombination or cross-species transmission. Consequently, to combat the emerging viral infections, bioinformatics-based potential strategies have been developed for viral characterization and developing new effective therapeutics for their eradication or management. This review attempts to provide a single platform for the available wide range of bioinformatics-based approaches, including bioinformatics methods for the identification and management of emerging or evolved viral strains, genome analysis concerning the pathogenicity and epidemiological analysis, computational methods for designing the viral therapeutics, and consolidated information in the form of databases against the known pathogenic viruses. This enriched review of the generally applicable viral informatics approaches aims to provide an overview of available resources capable of carrying out the desired task and may be utilized to expand additional strategies to improve the quality of translation viral informatics research.

Funder

Council of Scientific and Industrial Research

Institute of Biotechnology of the Czech Academy of Sciences

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

Reference489 articles.

1. The next influenza pandemic: can it be predicted?;Taubenberger;JAMA,2007

2. Four flu pandemics: lessons that need to be learned;Pineo;J Dev Soc,2021

3. Origin and evolution of the 1918 "Spanish" influenza virus hemagglutinin gene;Reid;Proc Natl Acad Sci U S A,1999

4. Evidence of an absence: the genetic origins of the 1918 pandemic influenza virus;Reid;Nat Rev Microbiol,2004

5. Excess mortality from epidemic influenza, 1957–1966;Housworth;Am J Epidemiol,1974

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